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Do you want to find match member records, link member records, and perfect a search algorithm for your InfoSphere MDM Virtual and Physical implementation? Then this course is designed for you.

The InfoSphere MDM Algorithms V11 course prepares you to work with and customize the algorithm configurations deployed to the InfoSphere MDM Probabilistic Matching Engine (PME) for a Virtual and Physical MDM implementations. The PME is the heart of all Matching, Linking, and Searching for entities (Person, Organization, etc) that exist in InfoSphere MDM.

This course has a heavy emphasis on the exercises, where you will implement the customization discussed in the course to perform matching, linking, and searching on fields not provided by the default implementation.

At the end of this course it is expected you will feel comfortable customizing an algorithm for the PME for a Virtual and Physical MDM implementations.

You should have completed:

(ZZ800)
or experience with InfoSphere MDM

Understand how Matching and Linking work for both the Virtual Implementations of InfoSphere MDM
Learn how Duplicate Suspect Processing and Search (using PME) work for Physical Implementations of InfoSphere MDM
Know and understand the MDM configuration project and database tables used by the PME
Understand the PME Algorithms (Standardization, Bucketing and Comparison steps) and how to create and customize the algorithms using the workbench
Learn how to analyze the Bucketing steps in an algorithm
Understand how to generate weights for a given algorithm and how those weights are generated based on a sample database set.
Understand how to analyze the weights that are generated using the workbench
Learn how to deploy the PME configuration for the Virtual implementations of InfoSphere MDM.
Understand how to deploy the PME configuration for a Physical implementation of InfoSphere MDM.
Understand the integration between the Physical module and the PME

PME and Virtual Overview

Virtual MDM Overview
Terminology (Source, Entity, Member, Attributes)
PME and Virtual MDM ( Algorithms, Weights, Comparison Scores, Thresholds)
Virtual MDM Linkages and Tasks

Virtual MDM Algorithms

Standardization
Bucketing
Comparison Functions
Exercise: Creating a new Algorithm

Virtual PME Data Model

Algorithm configuration tables
Member Derived Data
Bucketing Data
Exercise: Loading Members and viewing Algorithm and Derived data

Bucket Analysis

Analysis Overview
Attribute Completeness
Bucket Analysis
Exercise: Analysing our Buckets

Weights

Weights Overview (Frequency-based weights, Edit Distance weights and Parameterize weights)
The weight formula
Running weight generation
Analyzing weights
Exercise: Generate Weights and analyzing weight distribution

Threshold

Bulk Cross Match process
Pair Manager
Threshold calculations
Entity Analytics
Exercise: Threshold Calculations
Exercise: Pair Manager
Exercise: Testing our algorithm

PME and Physical Overview

Physical MDM Overview
Terminology (Entity, Critical Data, Business Object)
PME and Physical MDM ( Algorithms, Weights, Comparison Scores, Thresholds)
Physical MDM Suspect Duplicate Processing
Physical MDM Probabilistic Search
Exercise: Testing the default Physical PME algorithm

Physical PME Data Model and Mapping

Default Physical BObjs and mapping to PME
Virtual Party Template
Default Party Configuration project
Exercise: Loading default Physical PME Configuration project

Physical MDM Algorithms

Standardization
Bucketing
Comparison Functions
Exercise: Explore and customize the default Physical Algorithm
Exercise: Analysing our Buckets
Exercise: Generate Weights
Exercise: Deploying the Physical MDM PME Configuration

Physical MDM PME Adapters and Converters

MDM PME Adapter overview
MDM Outbound and Inbound Converters
Exercise: Creating a custom converter

Agenda:

Day 1

Unit 1: PME and Virtual Overview
Unit 2: Virtual MDM Algorithms
Unit 3: Virtual PME Data Model

Day 2

Unit 4: Bucket Analysis
Unit 5: Weights
Unit 6: Threshold

Day 3

Unit 7: PME and Physical Overview
Unit 8: Physical PME Data Model and Mapping
Unit 9: Physical MDM Algorithms
Unit 10: Physical MDM PME Adapters and Converters

InfoSphere MDM Algorithms V11 Training Course in Finland

Finland is a country located in northern Europe. Helsinki is the capital and largest city of the country. The majority of the people are Finns but there is also a small Lapp population in Lapland, where the country is famous for the Northern Lights. Finland's national languages are Finnish and Swedish.

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Helsinki, Finland's capital city, is the country's business center. Helsinki is Finland's largest city, and it is home to many of the country's major corporations and organizations, including many of the country's leading technology firms. The city is also a commercial, trade, and financial center, as well as one of the busiest ports in the Nordic region.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Finland.

InfoSphere MDM Algorithms V11 Training in Finland

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InfoSphere MDM Algorithms V11 Training in Finland

Prerequisites

What You Will Learn

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